mohammadasghari / UC-Berkeley-CS-294-Deep-RLLinks
Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning
☆24Updated 6 years ago
Alternatives and similar repositories for UC-Berkeley-CS-294-Deep-RL
Users that are interested in UC-Berkeley-CS-294-Deep-RL are comparing it to the libraries listed below
Sorting:
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- ☆101Updated 5 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆170Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆249Updated 4 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 3 years ago
- Berkeley CS285 2019 homework solution☆31Updated 2 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆118Updated 3 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆21Updated 4 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 3 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆143Updated 5 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆72Updated 3 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆150Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)☆130Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆244Updated 11 months ago
- ☆187Updated 3 years ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆310Updated 2 years ago
- ☆31Updated 4 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆159Updated 4 years ago
- Reinforcement Learning examples implementation and explanation☆340Updated last year
- A collection of pre-trained RL agents using Stable Baselines3☆141Updated last year
- Stanford CS234: Reinforcement Learning assignments and practices☆61Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆158Updated 5 years ago
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆395Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆102Updated 7 months ago
- [Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"☆255Updated 5 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]☆291Updated 5 years ago